Title: The Value of Multiangle Measurements for Retrieving Structurally and Radiatively Consistent Properties of Clouds, Aerosols, and Surfaces
Authors: DINER David J.BRASWELL Bobby H.DAVIES RogerGOBRON NADINEHU JiannanJIN YufangKAHN Ralph A.KNYAZIKHIN YuriLOEB NormanMULLER Jan-PeterNOLIN Anne W.PINTY BERNARDSCHAAF Crystal B.SEIZ GabrielaSTROEVE Julienne
Citation: REMOTE SENSING OF ENVIRONMENT vol. 97 no. 495 - 518
Publisher: Elsevier
Publication Year: 2005
JRC N°: JRC31387
URI: http://publications.jrc.ec.europa.eu/repository/handle/JRC31387
Type: Articles in Journals
Abstract: Passive optical multiangle observations make possible the retrieval of scene structural characteristics that cannot be obtained with, or require fewer underlying assumptions than, single-angle sensors. Retrievable quantities include aerosol amount over a wide variety of surfaces (including bright targets); aerosol microphysical properties such as particle shape; geometrically-derived cloud-top heights and 3-D cloud morphologies; distinctions between polar clouds and ice; and textural measures of sea ice, ice heets, and vegetation. At the same time,multiangle data are necessary for accurate retrievals of radiative quantities such as surface and top-of-atmosphere albedos, whose agnitudes are governed by structural characteristics of the reflecting media and which involve angular integration over intrinsically anisotropic intensity fields. Measurements of directional radiation streams also provide independent checks on model ssumptions conventionally used in satellite retrievals, such as the application of 1-D radiative transfer theory, and provide data required to constrain more sophisticated, 3-D pproaches.In this paper, the value of multiangle remote sensing in establishing physical correspondence and self-consistency between scene structural and radiative characteristics is demonstrated using simultaneous observations from instruments board NASA’s Terra satellite (MISR,CERES, ASTER, and MODIS). Illustrations pertaining to the remote sensing of clouds, aerosols, ice, and vegetation properties are resented. D 2005 Elsevier Inc. All rights reserved.
JRC Institute:Institute for Environment and Sustainability

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